Data Analytics and Visualisation System for Fall Detection for Elderly and Disabled People

The purpose of this study is to develop a data analytics and visualization system for detecting falls in elderly and disabled individuals. In this study, analytic techniques and intuitive data visualization methods are employed to overcome challenges associated with real-time fall detection. The system is designed to provide immediate alert notifications, enabling prompt assistance. A user-centered approach takes into consideration the unique needs and capabilities of the target audience. Furthermore, the research emphasizes the importance of data visualization in presenting fall-related information in a clear and understandable way, thereby facilitating better decision-making and patient recommendations. By addressing this gap, the study aims to enhance the overall usability of user interface design for fall detection and response systems for elderly and disabled individuals.